Data Pipeline Engineer – Vision System Calibration in Autonomous Driving

Om jobbet

The company

Zenseact is an autonomous driving software powerhouse on a mission to develop groundbreaking AI and software eliminating collisions in traffic and freeing up time for our users around the globe. Zenseact is deploying its OnePilot autonomous driving service on our lead customers', Polestar and Volvo Cars, a coming vehicle platform that carries game-changing compute and sensing technologies never experienced in the Automotive industry. Zenseact China's mission is to develop and deploy Zenseact's OnePilot autonomous driving software service for its lead customers Polestar and Volvo Cars in the Chinese market and drive the commercial expansion to other innovative carmakers in China.

Zenseact is built on the inventors of Active Safety from the early 1990s and is elevated with highly skilled AI and Software Engineers from other software-oriented sectors. Today, we are a team of 600+ highly ambitious Engineers based in Shanghai, Sweden, and Silicon Valley sites.

Insight from the team

The data service team at Zenseact China is responsible for all data-related activities from data collection to data process for next-generation ADAS and AD software. The team is part of a global core development organization with close collaboration with our engineers in Sweden. We are looking to expand our team with skilled data engineers to address the needs of the fast-evolving AD and ADAS market and solve the challenging China-specific issues. Our job is not only challenging but highly rewarding, and we're looking for a new team member to complete our team!

Your mission and day-to-day tasks

In this role, you will be responsible for deploying and maintaining calibration tools to estimate the precise pose of sensors on vehicles. You will handle all calibration-relatedactivities including both HW and SW as well as develop calibration algorithms to estimate the precise pose of sensors such as LIDARs and cameras on the vehicles. The algorithms can be run in an offline manner in a controlled space or online while driving the car. The role is broad and gives you an opportunity to explore new areas and expand your competencies.

You will work in a highly Agile environment using Scrum and Kanban, to develop the team backlog items and support other teams that have dependencies on you.

Your background and experience

Your educational background and work experience have made you proficient in data analysis and software development. You are skilled in C++ and Python. It is meriting if you are experienced in AD and ADAS and know GPU programming, OpenCV, Linux, and Docker.

We hope that you know what continuous integration means and includes. The expression "green master" needs no explanation to you. Quickly getting up to speed in your new role helps if you know Git, Gerrit, and Jenkins. The team needs you to embrace Agile values.

Summary of qualifications:

• MSc degree in Software Engineering, Artificial Intelligent, Computer Science, Complex Adaptive Systems or similar• Minimum 3 years of experience as ML/DL Algorithm or Software Developer and involvement in industrial-scalesoftware development projects.• Skilled with C++ and Python• Knowledge of Agile software development methodology• Experience within the Automotive Industry is highly meritorious• Experience with Object Detection, Segmentation, and Traffic Sign Recognition.

Interviews are held continuously, so we highly recommend that you submit your application at your earliest convenience.